Contents
1.0 Noise and Distortion
1.1 Noise Characterization
1.1.1 Gaussian Distribution
1.1.2 Poisson Distribution
1.2 Distortion Characterization
1.3.1 Filters to Reduce Noise and
Distortion, or to Enhance Median, Blur, Speckle
1.3.2 Filters to Reduce Noise and
Distortion, or to Enhance Min, Max
1.3.3 Filters to Reduce Noise and
Distortion, or to Enhance Histogram, Sharpen
1.3.3.1 Histogram Level [1]
1.3.3.2 Histogram Level [2]
1.3.3.3 Histogram Level [3]
1.3.3.4 Histogram Level [4]
1.3.3.5 Level Adjust - Automatic
1.4.S1 Noise and Filters - Example S1
1.4.S3 Noise and Filters - Example S3
1.5 Sharpen Examples
2.0 Filters, Operators and Algorithms
2.0.1 Specified Region
2.0.2 Kinds of Operators
2.1 Geometric Operations
2.1.1 Crop
2.1.2 Rotate
2.1.3 Reflect
2.1.4 Scale
2.1.5 Shear
2.2 Pixel Operations
2.2.1 Thresholding
2.2.2 Adaptive Thresholding
2.2.5 Pixel Invert
2.3 Image Arithmetic
2.3.3 Difference
2.3.3.1 Image Arithmetic Dialog
2.4 Digital Filters
2.4.1 Blur filters: Mean, Gaussian
2.4.2 Edge filters
2.4.3 Line filters [1]
2.4.3 Line filters [3]
2.4.4 Laplacian filters
2.5 Morphology (Shape Based Operations) [1]
2.5 Morphology (Shape Based Operations) [2]
2.5.1 Dilation
2.5.2 Erosion
2.5.2 Example
2.5.3 Opening
2.5.4 Closing
2.5.5 Hit and Miss Transform
2.5.5 Hit and Miss Transform Example
2.5.6 Thinning
2.5.7 Thickening
2.5.8 Skeletonization/Medial Axis Transform
2.6 Image Transforms
2.6.1 Distance Transform
2.6.2 Fourier Transform
2.6.3 Hough Transform
3.0 Image Processing Software
4.0 Appendix
